ANALYSIS OF STUDENTS’ ACADEMIC PERFORMANCE AND PROGRESSION (USING MARKOV CHAIN APPROACH)

What is it about?

This paper studies the pattern of students’ enrolment and their academic performance in the department of Statistics Ahmadu Bello University, Zaria. In this paper, a stochastic model for estimation was developed; the study programme was modeled by a finite Markov chain with 4 transient and two absorbing states. The probability transition matrix was constructed. The students’ progression towards the next stage of the study programme was estimated, the expected time that a student spends at a particular stage as well as the expected duration of the study is determined. The probation, withdrawal and graduation probabilities were also obtained. The data was analyzed using R- Software.

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Why is it important?

It shows how students can progress from a particular level to another academically.